A single HR system (HRM) on shared data and permissions: no patchwork of integrations, no double data entry. Everything for HR automation, from a hiring request to engagement analytics.

One platform, four different working days

Every role gets its own entry point into the product: its own screens, its own permissions, its own notifications. Configured by the role model, not by separate installs.

HR director

Hiring, learning, engagement and attrition in one analytics view, without stitching together exports from three systems.

Recruiter

Runs the pipeline, collects applications from hh.kz and the career site, gets AI resume screening for the role.

Manager

Approves requests and HR orders, runs onboarding for new hires and performance reviews for the team.

Employee

Files requests, takes courses, checks the leave balance and onboarding tasks in self-service.

Artificial intelligence

AI where it actually helps

Not AI for AI’s sake, but concrete scenarios inside real workflows.

Cloud models and locally hosted AI are available. Keeping AI within your perimeter requires both a local language model and an embedding service; external connections are agreed separately.

Resume screening and semantic matching to a role.
Assistant with RAG over your policies and knowledge base.
AI course summaries and a chat tutor over learning materials.
The assistant performs actions (course enrollment, requests) only after your confirmation.

Data and security

Your data stays in the country

For Kazakhstan, data residency is a requirement, not an option. So isolation is built into the architecture, not bolted on.

Data isolation

Standard Cloud separates customer data in a shared database with row-level protection. Dedicated Cloud and On-prem provide a separate environment for one company.

Self-hosted AI

Cloud models and locally hosted AI are available. Keeping AI within your perimeter requires both a local language model and an embedding service; external connections are agreed separately.

Access, MFA and audit

RBAC/ABAC and data scopes, MFA (TOTP), an immutable audit trail, RFC 7807 errors.

Residency and encryption

The main database and files are hosted in Kazakhstan (KZ Law 94-V). Transfers to external AI services and integrations depend on the selected connections and agreed terms.

Three ways to host Talantiq

The instance runs wherever your security policy allows: in a Kazakhstan data center, in a dedicated cloud, or entirely inside your own perimeter.

Standard Cloud

The main database and files are hosted on shared regional infrastructure in Kazakhstan (KZ Law 94-V). The application and database are shared, with company data isolated at row level. External AI processing and integrations are agreed separately.

Dedicated Cloud

A separate isolated instance for your company: your own resources, your own domain, your own update schedule.

On-prem

The application, database and files run in customer infrastructure. AI within the perimeter requires a local language model and embeddings; external services are connected by agreement.

Rollout

From the first call to a working platform

Rollout follows your processes, not an out-of-the-box default. We deploy the instance, migrate the data and switch modules on one at a time.

We map your processes

We look at how hiring, approvals and HR records work today, then agree what moves over as is and what gets simplified.

Demo on your scenarios
Module map for your goals
Scope and timeline estimate

Configure your workspace

Choose the delivery class and region, then configure branding, roles, org structure and reference data. Dedicated Cloud and On-prem use a separate environment.

Hosting and data isolation
Employee and org-structure import

We turn modules on one by one

We start with one process, get it working properly, then connect the next. Your team learns on live work, not on a manual.

Administrator training
Launch support
Analytics from month one

Frequently asked questions

The product, data, languages and rollout in brief.

What is Talantiq?

Recruiting, onboarding, learning, performance, surveys, rewards, HR processes and self-service on shared employee data. Available as Standard Cloud, Dedicated Cloud and On-prem.

Where is data stored and how does residency work?

The main database and files are hosted in Kazakhstan (KZ Law 94-V). Transfers to external AI services and integrations depend on the selected connections and agreed terms. Standard Cloud separates customer data in a shared database with row-level protection. Dedicated Cloud and On-prem provide a separate environment for one company.

Which languages does the interface support?

Russian, Kazakh, Uzbek (Latin and Cyrillic) and English. Full localization of the interface and content.

Can it run under our own brand (white-label)?

Yes. Logo, colors, fonts and terminology are configured via config and theme, with no code fork. One codebase, many instances, core updates without losing your customizations.

How does licensing work and what does it cost?

Pricing depends on the delivery class, modules and employee count. Request a demo to see your scenarios and discuss a quote.

Is there AI and is it safe?

Cloud models and locally hosted AI are available. Keeping AI within your perimeter requires both a local language model and an embedding service; external connections are agreed separately.

Which modules are included?

Recruiting (ATS), onboarding, learning (LMS), performance, assessments, surveys, eNPS, rewards, org structure and staffing table, HR document workflow, employment contracts, time and leave, analytics, notifications and self-service, all running on shared data and permissions.

Can it be deployed on-premise / self-hosted?

Yes. The application, database and files run in customer infrastructure. AI within the perimeter requires a local language model and embeddings; external services are connected by agreement.

Talantiq

Ready to see Talantiq in action?

We will walk through the platform on your scenarios and answer questions in 30 minutes.